The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD

## [1] "2020-12-08"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide

## [1] "68225723 (up from 67591311 yesterday: 0.94 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1556834 (up from 1544532 yesterday: 0.8 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days

## [1] 12546014

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.28



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 15165295 215878 1.44 3793400 286249 2546 0.90 1.89
India 9735850 32080 0.33 822943 141360 402 0.29 1.45
Brazil 6674999 51088 0.77 763241 178159 842 0.47 2.67
Russia 2492713 25752 1.04 537801 43674 552 1.28 1.75
France 2363196 14137 0.60 276013 56453 840 1.51 2.39
Italy 1757394 14837 0.85 519322 61240 634 1.05 3.48
United Kingdom 1754911 12386 0.71 340552 62130 599 0.97 3.54
Spain 1702328 0 0.00 192305 46646 0 0.00 2.74
Argentina 1469919 3610 0.25 140914 40009 121 0.30 2.72
Colombia 1384610 7510 0.55 173482 38158 163 0.43 2.76
Germany 1229269 29263 2.44 385512 20002 568 2.92 1.63
Mexico 1193255 11006 0.93 182102 110874 800 0.73 9.29
Poland 1076180 8310 0.78 323240 20592 411 2.04 1.91
Iran 1062397 11023 1.05 273924 50917 323 0.64 4.79
Peru 973912 0 0.00 35644 36274 0 0.00 3.72
Turkey 893630 33198 3.86 472217 15314 211 1.40 1.71
Ukraine 855054 11156 1.32 281296 14413 205 1.44 1.69
South Africa 821889 4011 0.49 67633 22432 183 0.82 2.73
Belgium 594572 1957 0.33 53967 17507 121 0.70 2.94
Indonesia 586842 5292 0.91 112387 18000 133 0.74 3.07
Netherlands 579997 6247 1.09 115792 9857 71 0.73 1.70
Iraq 568138 2123 0.38 43635 12477 17 0.14 2.20
Chile 563534 1392 0.25 29924 15680 17 0.11 2.78
Czechia 551070 4237 0.77 81301 9036 134 1.51 1.64
Romania 524675 7439 1.44 151201 12660 213 1.71 2.41
Bangladesh 481945 2202 0.46 45261 6906 32 0.47 1.43
Philippines 442785 1386 0.31 32067 8670 98 1.14 1.96
Canada 432743 6171 1.45 122808 12887 91 0.71 2.98
Pakistan 426142 2963 0.70 62762 8547 60 0.71 2.01
Morocco 384088 2900 0.76 82484 6370 50 0.79 1.66
Saudi Arabia 359115 193 0.05 5197 5989 12 0.20 1.67
Switzerland 358568 4262 1.20 84034 5593 98 1.78 1.56
Israel 348285 1488 0.43 22495 2932 8 0.27 0.84
Portugal 327976 2905 0.89 97852 5122 81 1.61 1.56
Austria 308070 2377 0.78 93473 4002 105 2.69 1.30
Sweden 297732 18820 6.75 105293 7200 133 1.88 2.42
Hungary 256367 2219 0.87 103708 6120 136 2.27 2.39
Jordan 247131 3062 1.25 91138 3162 46 1.48 1.28
Nepal 243377 1382 0.57 31902 1637 23 1.43 0.67
Serbia 234027 7818 3.46 141652 2062 57 2.84 0.88
Ecuador 198752 508 0.26 17648 13794 14 0.10 6.94
Kazakhstan 181721 944 0.52 19166 2544 54 2.17 1.40
Panama 181166 1936 1.08 32445 3241 29 0.90 1.79
United Arab Emirates 178837 1260 0.71 26028 596 2 0.34 0.33
Georgia 169649 4673 2.83 83697 1576 36 2.34 0.93
Bulgaria 168165 3980 2.42 61567 5156 146 2.91 3.07
Japan 166592 2158 1.31 45345 2334 35 1.52 1.40
Croatia 154852 2613 1.72 67388 2298 65 2.91 1.48
Azerbaijan 154152 4387 2.93 74994 1713 38 2.27 1.11
Belarus 150602 1649 1.11 33903 1222 7 0.58 0.81
Dominican Republic 149630 492 0.33 14933 2347 1 0.04 1.57
Costa Rica 147430 1009 0.69 21840 1846 21 1.15 1.25
Bolivia 145846 189 0.13 2373 9002 5 0.06 6.17
Kuwait 144900 301 0.21 7015 900 3 0.33 0.62
Armenia 142928 584 0.41 24058 2372 28 1.19 1.66
Qatar 140203 117 0.08 3981 239 0 0.00 0.17
Lebanon 139135 1039 0.75 31182 1136 21 1.88 0.82
Guatemala 126473 799 0.64 10743 4286 12 0.28 3.39
Oman 125325 210 0.17 4607 1454 2 0.14 1.16
Egypt 119281 434 0.37 7997 6813 23 0.34 5.71
Slovakia 119232 1949 1.66 30630 1046 28 2.75 0.88
Moldova 119204 1709 1.45 28292 2460 22 0.90 2.06
Greece 118045 1324 1.13 39220 3194 102 3.30 2.71
Ethiopia 114266 531 0.47 10871 1766 11 0.63 1.55
Honduras 111707 684 0.62 8219 2950 4 0.14 2.64
Tunisia 105445 1116 1.07 23722 3668 72 2.00 3.48
Venezuela 105384 480 0.46 7334 928 4 0.43 0.88
Burma 101739 1308 1.30 30009 2151 19 0.89 2.11
West Bank and Gaza 101109 1351 1.35 36174 867 19 2.24 0.86

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 1415396 24568 1.77 363111 20205 190 0.95 1.43 35821.73 511.36 1 in 28
Texas 1346643 14924 1.12 253505 23372 186 0.80 1.74 46442.56 806.05 1 in 22
Florida 1073770 7985 0.75 176447 19378 96 0.50 1.80 49994.56 902.24 1 in 20
Illinois 804174 7910 0.99 206325 14384 170 1.20 1.79 63461.60 1135.12 1 in 16
New York 722464 9335 1.31 153686 35118 84 0.24 4.86 37137.88 1805.22 1 in 27
Georgia 512267 5577 1.10 81696 9873 22 0.22 1.93 48247.77 929.89 1 in 21
Ohio 510018 25721 5.31 197575 7103 81 1.15 1.39 43631.93 607.66 1 in 23
Wisconsin 448009 4620 1.04 105854 4054 81 2.04 0.90 76945.31 696.27 1 in 13
Michigan 443076 6676 1.53 146236 10625 203 1.95 2.40 44365.91 1063.90 1 in 23
Pennsylvania 442311 10104 2.34 161354 11521 202 1.78 2.60 34550.18 899.94 1 in 29
Tennessee 414749 6019 1.47 94020 5109 100 2.00 1.23 60696.39 747.68 1 in 16
North Carolina 404032 4670 1.17 86537 5605 45 0.81 1.39 38522.96 534.42 1 in 26
Indiana 392663 5385 1.39 130456 6410 126 2.01 1.63 58325.94 952.14 1 in 17
Arizona 378157 12314 3.37 98261 6973 23 0.33 1.84 49660.19 915.71 1 in 20
New Jersey 377055 5476 1.47 91536 17426 90 0.52 4.62 42450.68 1961.90 1 in 24
Minnesota 359203 3051 0.86 122254 4086 22 0.54 1.14 63692.63 724.52 1 in 16
Missouri 335556 3329 1.00 81405 4430 141 3.29 1.32 54673.72 721.80 1 in 18
Alabama 276665 4436 1.63 55817 3942 50 1.28 1.42 56425.57 803.97 1 in 18
Colorado 268589 3971 1.50 96545 3372 14 0.42 1.26 46640.27 585.55 1 in 21
Massachusetts 263447 4122 1.59 70483 11076 41 0.37 4.20 37908.75 1593.78 1 in 26
Virginia 262730 3860 1.49 55968 4260 52 1.24 1.62 30780.79 499.09 1 in 32
Louisiana 254562 2426 0.96 46877 6652 45 0.68 2.61 54758.72 1430.91 1 in 18
Iowa 247954 1970 0.80 54756 2724 1 0.04 1.10 78589.06 863.37 1 in 13
South Carolina 236954 2302 0.98 39054 4585 6 0.13 1.93 46021.98 890.51 1 in 22
Oklahoma 220686 2297 1.05 62278 1922 11 0.58 0.87 55771.45 485.73 1 in 18
Utah 219971 2333 1.07 61014 972 23 2.42 0.44 68613.19 303.19 1 in 15
Maryland 219961 2632 1.21 50156 4916 51 1.05 2.23 36383.17 813.14 1 in 27
Kentucky 205667 3076 1.52 63659 2102 20 0.96 1.02 46034.48 470.49 1 in 22
Washington 187327 2923 1.59 53206 2967 26 0.88 1.58 24600.08 389.63 1 in 41
Kansas 177312 441 0.25 52018 1856 0 0.00 1.05 60862.65 637.08 1 in 16
Arkansas 174325 2283 1.33 38423 2752 39 1.44 1.58 57765.11 911.92 1 in 17
Nevada 173284 2697 1.58 49489 2359 40 1.72 1.36 56258.19 765.87 1 in 18
Mississippi 167926 1732 1.04 32123 4017 56 1.41 2.39 56423.92 1349.73 1 in 18
Nebraska 142595 1468 1.04 38790 1271 35 2.83 0.89 73715.06 657.05 1 in 14
Connecticut 138258 2414 1.78 43272 5242 18 0.34 3.79 38778.93 1470.29 1 in 26
Idaho 113905 2012 1.80 28780 1074 19 1.80 0.94 63560.75 599.31 1 in 16
New Mexico 109947 0 0.00 42388 1756 0 0.00 1.60 52434.89 837.46 1 in 19
Oregon 87082 1294 1.51 28512 1080 35 3.35 1.24 20646.62 256.06 1 in 48
South Dakota 87038 538 0.62 19754 1111 1 0.09 1.28 98385.93 1255.85 1 in 10
North Dakota 83342 0 0.00 17375 1028 0 0.00 1.23 109363.81 1348.97 1 in 9
Montana 69346 755 1.10 19948 763 21 2.83 1.10 64883.45 713.90 1 in 15
Rhode Island 67067 1249 1.90 22539 1470 22 1.52 2.19 63308.92 1387.63 1 in 16
Puerto Rico 58316 694 1.20 14731 1206 3 0.25 2.07 18259.73 377.62 1 in 55
West Virginia 57060 932 1.66 21736 870 29 3.45 1.52 31927.98 486.81 1 in 31
Delaware 41464 753 1.85 11912 803 10 1.26 1.94 42581.16 824.64 1 in 23
Alaska 38116 577 1.54 13075 146 0 0.00 0.38 52103.42 199.58 1 in 19
Wyoming 37475 490 1.32 13022 289 0 0.00 0.77 64750.61 499.34 1 in 15
New Hampshire 26623 807 3.13 11304 566 0 0.00 2.13 19579.90 416.26 1 in 51
District of Columbia 23589 270 1.16 4280 701 0 0.00 2.97 33424.06 993.27 1 in 30
Hawaii 18976 53 0.28 2071 262 0 0.00 1.38 13402.34 185.04 1 in 75
Maine 14049 274 1.99 4686 239 12 5.29 1.70 10451.48 177.80 1 in 96
Vermont 5180 100 1.97 2076 85 4 4.94 1.64 8301.43 136.22 1 in 120

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 25789775 1415396 5.49 4530699 363111 8.01 652703.7
2 Texas 11528595 1346643 11.68 2087526 253505 12.14 397594.2
3 Florida 13265616 1073770 8.09 6602078 176447 2.67 617645.0
4 Illinois 11274608 804174 7.13 2018950 206325 10.22 889738.6
5 New York 20909445 722464 3.46 3872750 153686 3.97 1074838.9
6 Georgia 4555443 512267 11.25 601021 81696 13.59 429053.5
7 Ohio 6593404 510018 7.74 1228884 197575 16.08 564064.3
8 Wisconsin 4676749 448009 9.58 730473 105854 14.49 803229.2
9 Michigan 7119253 443076 6.22 1253466 146236 11.67 712862.2
10 Pennsylvania 3396338 442311 13.02 532358 161354 30.31 265297.7
11 Tennessee 4765211 414749 8.70 589060 94020 15.96 697364.2
12 North Carolina 5704900 404032 7.08 1007339 86537 8.59 543941.1
13 Indiana 4656827 392663 8.43 1044751 130456 12.49 691722.4
14 Arizona 2408041 378157 15.70 403833 98261 24.33 316227.8
15 New Jersey 6349346 377055 5.94 974655 91536 9.39 714840.2
16 Minnesota 4519051 359203 7.95 1073804 122254 11.39 801302.5
17 Missouri 3230130 335556 10.39 404289 81405 20.14 526300.3
18 Alabama 1664090 276665 16.63 190544 55817 29.29 339389.6
19 Colorado 3551451 268589 7.56 991355 96545 9.74 616706.7
20 Massachusetts 9072057 263447 2.90 1684858 70483 4.18 1305425.3
21 Virginia 3545869 262730 7.41 582712 55968 9.60 415425.1
22 Louisiana 3647386 254562 6.98 579056 46877 8.10 784587.6
23 Iowa 1102737 247954 22.49 105703 54756 51.80 349512.7
24 South Carolina 2581328 236954 9.18 459005 39054 8.51 501353.9
25 Oklahoma 2259659 220686 9.77 408640 62278 15.24 571057.8
26 Utah 1944485 219971 11.31 315388 61014 19.35 606522.3
27 Maryland 4770832 219961 4.61 848526 50156 5.91 789130.8
28 Kentucky 2786379 205667 7.38 523663 63659 12.16 623675.7
29 Washington 3164714 187327 5.92 368978 53206 14.42 415595.3
30 Kansas 861324 177312 20.59 127568 52018 40.78 295650.9
31 Arkansas 1783498 174325 9.77 258219 38423 14.88 590987.9
32 Nevada 1759106 173284 9.85 311283 49489 15.90 571109.4
33 Mississippi 1194226 167926 14.06 151432 32123 21.21 401265.5
34 Nebraska 1474341 142595 9.67 308098 38790 12.59 762166.5
35 Connecticut 3573535 138258 3.87 747077 43272 5.79 1002313.4
36 Idaho 494914 113905 23.02 61692 28780 46.65 276169.7
37 New Mexico 1660275 109947 6.62 274154 42388 15.46 791802.8
38 Oregon 2175160 87082 4.00 1205338 28512 2.37 515717.3
39 South Dakota 342423 87038 25.42 44064 19754 44.83 387067.8
40 North Dakota 1136485 83342 7.33 159679 17375 10.88 1491328.8
41 Montana 696878 69346 9.95 113050 19948 17.65 652032.5
42 Rhode Island 1663288 67067 4.03 297696 22539 7.57 1570086.1
44 West Virginia 1245934 57060 4.58 298490 21736 7.28 697163.7
45 Delaware 796339 41464 5.21 162326 11912 7.34 817794.7
46 Alaska 1088978 38116 3.50 210356 13075 6.22 1488600.1
47 Wyoming 429164 37475 8.73 277024 13022 4.70 741524.5
48 New Hampshire 873290 26623 3.05 150243 11304 7.52 642261.5
49 District of Columbia 745631 23589 3.16 148889 4280 2.87 1056510.2
50 Hawaii 710816 18976 2.67 107982 2071 1.92 502034.1
51 Maine 942567 14049 1.49 177649 4686 2.64 701204.1
52 Vermont 588633 5180 0.88 108928 2076 1.91 943338.7

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4312365 432327 1656 0.38 10.03 6187 767 111829 23208 5.37
Piemonte 1687411 179651 952 0.53 10.65 4124 330 64513 6746 3.76
Veneto 2910230 170944 3145 1.87 5.87 2529 319 79748 4374 2.56
Campania 1721240 167433 1080 0.65 9.73 1898 140 98765 2064 1.23
Emilia-Romagna 2248912 137270 1624 1.20 6.10 2781 234 66522 6268 4.57
Lazio 2384802 133128 1501 1.14 5.58 3091 341 94009 2701 2.03
Toscana 1661394 109418 428 0.39 6.59 1335 253 26024 2933 2.68
Sicilia 1040198 73555 1148 1.59 7.07 1374 199 39555 1829 2.49
Puglia 853140 66257 915 1.40 7.77 1605 197 47312 1759 2.65
Liguria 631209 54173 266 0.49 8.58 841 91 9745 2563 4.73
Friuli Venezia Giulia 778693 36484 658 1.84 4.69 658 64 14877 1089 2.98
Marche 438149 32831 293 0.90 7.49 514 87 13821 1355 4.13
Abruzzo 444065 30710 312 1.03 6.92 658 69 16449 994 3.24
P.A. Bolzano 325198 25555 79 0.31 7.86 483 30 10883 594 2.32
Umbria 442893 25344 135 0.54 5.72 318 57 5746 477 1.88
Sardegna 403381 24778 226 0.92 6.14 616 62 15160 543 2.19
Calabria 384990 18867 155 0.83 4.90 376 25 10366 360 1.91
P.A. Trento 398913 17417 149 0.86 4.37 426 48 2457 719 4.13
Basilicata 162939 9105 59 0.65 5.59 121 15 6348 181 1.99
Valle d’Aosta 56474 6766 18 0.27 11.98 96 9 870 339 5.01
Molise 99517 5381 43 0.81 5.41 50 8 2526 144 2.68

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 154740 1564 1.02 7313 36 0.49 4.73 18124.37 856.56 1 in 55
Ontario 134605 1869 1.41 3827 11 0.29 2.84 9149.44 260.13 1 in 109
Alberta 72028 1727 2.46 640 9 1.43 0.89 16321.24 145.02 1 in 61
British Columbia 38718 566 1.48 543 16 3.04 1.40 7575.55 106.24 1 in 132
Manitoba 19376 245 1.28 420 13 3.19 2.17 14065.89 304.90 1 in 71
Saskatchewan 10597 185 1.78 66 6 10.00 0.62 8967.85 55.85 1 in 112
Nova Scotia 1383 7 0.51 65 0 0.00 4.70 1414.90 66.50 1 in 707
New Brunswick 541 5 0.93 7 0 0.00 1.29 693.60 8.97 1 in 1442
Newfoundland and Labrador 352 1 0.28 4 0 0.00 1.14 675.15 7.67 1 in 1481
Nunavut 220 1 0.46 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 84 0 0.00 0 0 NaN 0.00 531.11 0.00 1 in 1883
Yukon 58 1 1.75 1 0 0.00 1.72 1411.95 24.34 1 in 708
Northwest Territories 15 0 0.00 0 0 NaN 0.00 334.05 0.00 1 in 2994
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 46348.70 874.84 1 in 22
India 7270.99 105.57 1 in 138
Brazil 31892.02 851.21 1 in 31
Russia 17250.61 302.24 1 in 58
France 35276.85 842.71 1 in 28
Italy 29057.44 1012.57 1 in 34
United Kingdom 26413.47 935.13 1 in 38
Spain 36483.67 999.70 1 in 27
Argentina 33203.50 903.75 1 in 30
Colombia 28217.04 777.62 1 in 35
Germany 14848.04 241.60 1 in 67
Mexico 9235.72 858.16 1 in 108
Poland 28335.44 542.18 1 in 35
Iran 13090.16 627.37 1 in 76
Peru 30273.92 1127.57 1 in 33
Turkey 11058.41 189.51 1 in 90
Ukraine NA NA 1 in NA
South Africa 14490.29 395.49 1 in 69
Belgium 52155.44 1535.70 1 in 19
Indonesia 2222.89 68.18 1 in 450

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 466321 8000 1.72
Cook Illinois 335204 7051 2.10
Miami-Dade Florida 246915 3926 1.59
Maricopa Arizona 236818 4161 1.76
Harris Texas 200397 3086 1.54
Dallas Texas 150940 1689 1.12
Clark Nevada 131510 1883 1.43
Broward Florida 115414 1711 1.48
Tarrant Texas 112725 1107 0.98
San Bernardino California 108946 1207 1.11
Riverside California 103221 1513 1.47
Queens New York 97147 7382 7.60
Kings New York 96020 7536 7.85
San Diego California 95445 1062 1.11
El Paso Texas 90748 1249 1.38
Orange California 90513 1633 1.80
Bexar Texas 89490 1544 1.73
Salt Lake Utah 88921 441 0.50
Milwaukee Wisconsin 79300 801 1.01
Philadelphia Pennsylvania 76589 2107 2.75
Hennepin Minnesota 75353 1176 1.56
Wayne Michigan 72692 3354 4.61
Palm Beach Florida 69855 1739 2.49
Suffolk New York 69024 2089 3.03
Bronx New York 68445 5039 7.36
Nassau New York 66495 2278 3.43
Franklin Ohio 64130 682 1.06
Hillsborough Florida 62149 969 1.56
Orange Florida 60291 642 1.06
St. Louis Missouri 57091 1109 1.94
Westchester New York 55797 1539 2.76
Utah Utah 54440 161 0.30
Middlesex Massachusetts 53518 2483 4.64
Marion Indiana 53514 929 1.74
Oakland Michigan 52330 1437 2.75
Shelby Tennessee 52068 716 1.38
DuPage Illinois 51672 855 1.65
Cuyahoga Ohio 50412 780 1.55
King Washington 50188 929 1.85
New York New York 49372 3240 6.56
Mecklenburg North Carolina 47986 476 0.99
Duval Florida 47818 658 1.38
Davidson Tennessee 46929 448 0.95
Pima Arizona 46849 730 1.56
Hidalgo Texas 45773 2095 4.58
Oklahoma Oklahoma 45458 335 0.74
Kern California 45342 456 1.01
Douglas Nebraska 45054 400 0.89
Prince George’s Maryland 44894 964 2.15
Fulton Georgia 44493 729 1.64
Fairfield Connecticut 44376 1567 3.53
Gwinnett Georgia 43747 550 1.26
Will Illinois 43578 627 1.44
Sacramento California 43426 620 1.43
Macomb Michigan 42764 1356 3.17
Jefferson Kentucky 41638 472 1.13
Suffolk Massachusetts 41487 1278 3.08
Santa Clara California 41316 512 1.24
Lake Illinois 41303 688 1.67
Essex Massachusetts 41158 1494 3.63
Fresno California 41098 514 1.25
Travis Texas 40836 496 1.21
Denver Colorado 40458 551 1.36
Providence Rhode Island 40206 1060 2.64
Hamilton Ohio 39256 382 0.97
Essex New Jersey 39011 2271 5.82
Bergen New Jersey 38602 2172 5.63
Jefferson Alabama 37488 529 1.41
Kent Michigan 37403 426 1.14
Tulsa Oklahoma 37149 290 0.78
Montgomery Maryland 36851 993 2.69
Polk Iowa 36268 357 0.98
Pinellas Florida 35505 939 2.64
New Haven Connecticut 35321 1318 3.73
Kane Illinois 35176 505 1.44
Hudson New Jersey 35115 1617 4.60
Lubbock Texas 34886 410 1.18
Allegheny Pennsylvania 34814 588 1.69
Fairfax Virginia 34487 628 1.82
Middlesex New Jersey 34420 1522 4.42
Alameda California 33887 525 1.55
Hartford Connecticut 33796 1653 4.89
Passaic New Jersey 33393 1346 4.03
Adams Colorado 33275 373 1.12
Cobb Georgia 32866 528 1.61
Lake Indiana 32816 501 1.53
Lee Florida 32790 607 1.85
Wake North Carolina 32398 308 0.95
El Paso Colorado 32288 329 1.02
Baltimore Maryland 32014 781 2.44
Ramsey Minnesota 31903 548 1.72
Waukesha Wisconsin 31179 261 0.84
Arapahoe Colorado 30989 457 1.47
Bernalillo New Mexico 30968 385 1.24
Sedgwick Kansas 30881 193 0.62
Union New Jersey 30879 1457 4.72
Dane Wisconsin 30375 110 0.36
Johnson Kansas 30199 312 1.03
Erie New York 30073 891 2.96
DeKalb Georgia 30064 483 1.61

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc